LeakBoost: Perceptual-Loss-Based Membership Inference Attack
Fuente:
arXiv
Saved in:
| Main Authors: | Taub, Amit Kravchik, Grabovski, Fred M., Amit, Guy, Mirsky, Yisroel |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes
by: Grabovski, Fred, et al.
Published: (2024)
by: Grabovski, Fred, et al.
Published: (2024)
ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams
by: Grabovski, Freddie, et al.
Published: (2025)
by: Grabovski, Freddie, et al.
Published: (2025)
What Was Your Prompt? A Remote Keylogging Attack on AI Assistants
by: Weiss, Roy, et al.
Published: (2024)
by: Weiss, Roy, et al.
Published: (2024)
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks
by: Bokobza, Roey, et al.
Published: (2024)
by: Bokobza, Roey, et al.
Published: (2024)
Transpose Attack: Stealing Datasets with Bidirectional Training
by: Amit, Guy, et al.
Published: (2023)
by: Amit, Guy, et al.
Published: (2023)
Membership Inference Attacks Against Time-Series Models
by: Koren, Noam, et al.
Published: (2024)
by: Koren, Noam, et al.
Published: (2024)
PEAS: A Strategy for Crafting Transferable Adversarial Examples
by: Avraham, Bar, et al.
Published: (2024)
by: Avraham, Bar, et al.
Published: (2024)
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation
by: Anderson, Maya, et al.
Published: (2024)
by: Anderson, Maya, et al.
Published: (2024)
Are You Human? An Adversarial Benchmark to Expose LLMs
by: Gressel, Gilad, et al.
Published: (2024)
by: Gressel, Gilad, et al.
Published: (2024)
The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks
by: Ayzenshteyn, Daniel, et al.
Published: (2024)
by: Ayzenshteyn, Daniel, et al.
Published: (2024)
Transferability Ranking of Adversarial Examples
by: Levy, Mosh, et al.
Published: (2022)
by: Levy, Mosh, et al.
Published: (2022)
One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries
by: Zloczower, Itay, et al.
Published: (2026)
by: Zloczower, Itay, et al.
Published: (2026)
LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
by: Ran, Delong, et al.
Published: (2025)
by: Ran, Delong, et al.
Published: (2025)
Memory Backdoor Attacks on Neural Networks
by: Luzon, Eden, et al.
Published: (2024)
by: Luzon, Eden, et al.
Published: (2024)
Hyperparameters in Score-Based Membership Inference Attacks
by: Pradhan, Gauri, et al.
Published: (2025)
by: Pradhan, Gauri, et al.
Published: (2025)
Do Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks
by: Al-Lawati, Ali, et al.
Published: (2026)
by: Al-Lawati, Ali, et al.
Published: (2026)
GAVEL: Towards Rule-Based Safety Through Activation Monitoring
by: Rozenfeld, Shir, et al.
Published: (2026)
by: Rozenfeld, Shir, et al.
Published: (2026)
Membership Inference Attack with Partial Features
by: Wang, Xurun, et al.
Published: (2025)
by: Wang, Xurun, et al.
Published: (2025)
On Membership Inference Attacks in Knowledge Distillation
by: Cui, Ziyao, et al.
Published: (2025)
by: Cui, Ziyao, et al.
Published: (2025)
Center-Based Relaxed Learning Against Membership Inference Attacks
by: Fang, Xingli, et al.
Published: (2024)
by: Fang, Xingli, et al.
Published: (2024)
Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks
by: Shi, Haonan, et al.
Published: (2024)
by: Shi, Haonan, et al.
Published: (2024)
Membership Inference Attacks on Discrete Diffusion Language Models
by: Kasivelrajan, Shailesh
Published: (2026)
by: Kasivelrajan, Shailesh
Published: (2026)
Generalization and Membership Inference Attack a Practical Perspective
by: Rahmani, Fateme, et al.
Published: (2026)
by: Rahmani, Fateme, et al.
Published: (2026)
Membership Inference Attacks Against Vision-Language Models
by: Hu, Yuke, et al.
Published: (2025)
by: Hu, Yuke, et al.
Published: (2025)
Membership Inference Attacks on Tokenizers of Large Language Models
by: Tong, Meng, et al.
Published: (2025)
by: Tong, Meng, et al.
Published: (2025)
Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases
by: Di Maio, Christian, et al.
Published: (2024)
by: Di Maio, Christian, et al.
Published: (2024)
Win-k: Improved Membership Inference Attacks on Small Language Models
by: Arkhmammadova, Roya, et al.
Published: (2025)
by: Arkhmammadova, Roya, et al.
Published: (2025)
Gap the (Theory of) Mind: Sharing Beliefs About Teammates' Goals Boosts Collaboration Perception, Not Performance
by: Amitai, Yotam, et al.
Published: (2025)
by: Amitai, Yotam, et al.
Published: (2025)
P-MIA: A Profiled-Based Membership Inference Attack on Cognitive Diagnosis Models
by: Hou, Mingliang, et al.
Published: (2025)
by: Hou, Mingliang, et al.
Published: (2025)
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
by: Aubinais, Eric, et al.
Published: (2023)
by: Aubinais, Eric, et al.
Published: (2023)
How does Bayesian Sampling help Membership Inference Attacks?
by: Liu, Zhenlong, et al.
Published: (2025)
by: Liu, Zhenlong, et al.
Published: (2025)
Automatic Calibration for Membership Inference Attack on Large Language Models
by: Zade, Saleh Zare, et al.
Published: (2025)
by: Zade, Saleh Zare, et al.
Published: (2025)
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment
by: Feng, Qizhang, et al.
Published: (2024)
by: Feng, Qizhang, et al.
Published: (2024)
Membership Inference Attacks on Recommender System: A Survey
by: He, Jiajie, et al.
Published: (2025)
by: He, Jiajie, et al.
Published: (2025)
Artificial Intelligent Disobedience: Rethinking the Agency of Our Artificial Teammates
by: Mirsky, Reuth
Published: (2025)
by: Mirsky, Reuth
Published: (2025)
Lost in Modality: Evaluating the Effectiveness of Text-Based Membership Inference Attacks on Large Multimodal Models
by: Tong, Ziyi, et al.
Published: (2025)
by: Tong, Ziyi, et al.
Published: (2025)
Do Parameters Reveal More than Loss for Membership Inference?
by: Suri, Anshuman, et al.
Published: (2024)
by: Suri, Anshuman, et al.
Published: (2024)
Who Owns This Agent? Tracing AI Agents Back to Their Owners
by: Chocron, Ruben, et al.
Published: (2026)
by: Chocron, Ruben, et al.
Published: (2026)
Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams
by: Gressel, Gilad, et al.
Published: (2025)
by: Gressel, Gilad, et al.
Published: (2025)
Membership Inference Attacks Against Fine-tuned Diffusion Language Models
by: Chen, Yuetian, et al.
Published: (2026)
by: Chen, Yuetian, et al.
Published: (2026)
Similar Items
-
Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes
by: Grabovski, Fred, et al.
Published: (2024) -
ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams
by: Grabovski, Freddie, et al.
Published: (2025) -
What Was Your Prompt? A Remote Keylogging Attack on AI Assistants
by: Weiss, Roy, et al.
Published: (2024) -
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks
by: Bokobza, Roey, et al.
Published: (2024) -
Transpose Attack: Stealing Datasets with Bidirectional Training
by: Amit, Guy, et al.
Published: (2023)